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The splitTypeR package enables the classification of bulk transcriptomic samples using gene signature lists. For each signature, an enrichment score is first calculated for every sample with Bioconduc
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Transcriptomic classification using mixture of normal distributions with splitTypeR
Taken from the repository README
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Read the full README ↗The splitTypeR package provides an automated statistical framework to classify heterogeneous biological samples based on gene signature lists, effectively isolating the signature-positive samples. This classification method is designed for bulk transcriptomic datasets.
If you use this package for a publication, we would ask you to cite the following:
Deschênes A, Belleau P, Tuveson DA (2026). splitTypeR: Transcriptomic Classification using Mixture of Normal Distributions. R package version 0.99.9, https://github.com/adeschen/splitTypeR.
Astrid Deschênes, Pascal Belleau and David A. Tuveson
This package and the underlying splitTypeR code are distributed under the Artistic license 2.0. You are free to use and redistribute this software.
For more information on Artistic 2.0 License see http://opensource.org/licenses/Artistic-2.0
If you have any bugs or feature requests, let us know. Thanks!